Do you want to work with state-of-the-art equipment like a mini super-computer, 3D-cameras, hyper- and multispectral cameras and JetBots? And learn to develop innovative applications of Artificial Intelligence and Computer Vision? Then studying with the Computer Vision & Data Science professorship is just the thing for you!



a minor, internship or graduate internship Computer Vision & Data Science

Leading Lectures:

Jaap van de Loosdrecht (Professor of Applied Sciences Computer Vision & Data Science) and Klaas Dijkstra (Associate Professor of Applied Sciences Computer Vision & Data Science)


NHL Stenden University of Applied Sciences, Rengerslaan 10 in Leeuwarden, G2.007



each semester for the duration of a semester*

For semester 1 of academic year 2021-2022 we do not accept new minor and internship students anymore (only Master)


HBO bachelor (2nd, 3rd, 4th year)


30 EC






Programming experience, affinity with engineering and applied research, a technical propedeutic diploma. 

* For software engineering students of NHL Stenden a customized program has been set up so that a graduation internship at CV&DS fits in the graduation period of 3 periods and 45 EC. For more information please contact the graduation coordinator or us.

Computer Vision & Data Science Applied Research

At Computer Vision, the focus is image acquisition and image processing, at Data Science, the focus is recognizing patterns in that information (Big Data) with the help of, among others, Deep Learning.  The professorship Computer Vision & Data Science of NHL Stenden University of Applied Sciences provides research and education in the field of Computer Vision & Data Science. This is done by applying advanced AI & Data Science techniques to real-world vision problems, in a close collaboration between staff, students and clients. 

Within the professorship in Computer Vision and Data Science you can follow a minor, do an internship or do your graduation project. During your minor or internship you will be working together with an experienced team of engineers, researchers and professors (of applied sciences) on challenging state-of-the-art applied research projects in the area of Computer Vision and Data Science. You learn to develop innovative applications of Computer Vision & Data Science. As student in our research lab you have access to state-of-the-art equipment like a mini super-computer, 3D cameras, high speed cameras, hyper- and multispectral cameras, surround cameras, industrial cameras, many types of optics, lighting, JetBots and unmanned aerial vehicles (drones).

On this website you will find more information about our group and the projects we are working on.

Learning goals

At the end of the minor or internship you can select, apply and test a Computer Vision and Data Science application. You will get familiar with the following aspects:

  • Image acquisition and configuration of a vision system (camera, lens and illumination)
  • Image segmentation, image classification, object detection or object counting using deep learning and computer vision.
  • Validation and optimization of algorithmic performance on datasets.
  • Programming and using libraries and software tools.
  • Applied research methodology and writing a technical paper.
  • Project management using SCRUM.
  • Design Based Education in short prototyping cycles.

To give you an impression you can find an overview of the learning outcomes of the minor in this document.

Study program

You study with us full-time for the length of a semester, you can start each semester (Sept or Feb). Basic knowledge and experience with Python is required. Additional Computer Vision & Data Science training is provided at the start of the semester during a compulsory kick-off course on Computer Vision & Data Science. After this course, projects are awarded to the students based on personal interests and technical background. For the remainder of the semester you will, in a group or individually, work on an real-life applied research projects from one of our partner companies.

Progress is discussed in weekly SCRUM meetings and monthly progress meetings. There is ample opportunity to ask questions. Students and staff work in two adjacent rooms. We are a small and flexible team and communication lines are short. In monthly sprints you work towards an end product, consisting of a technical paper, poster, presentation and a demonstrator/proof of concept. You will be assessed at your personal education level (minor, internship or graduation) and the corresponding competences.


This professorship is the place for students who want to learn more about image data analysis. The professorship is extremely suitable for students who have an affinity with programming, mathematics, applied research, computer vision and data science. This makes the professorship a good match with various studies from the technical bachelor’s education, such as (technical) computer science and mathematical engineering, but also chemical technology and electrical engineering

For admission we ask a motivation letter (in Englisch), including CV at There will be a short intake before admission where you will also be asked to show some code. Note, there is a maximum number of places available per semester. Admission is based on suitability and orderliness. It is therefore important to express your interest in time. 

If you like more information, please feel free to contact us, you will find us in G2.016 (Rengerslaan 10 in Leeuwarden) and can reach us by mail